Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
IEEE

System Architecture Modelling of Sugarcane Agroindustry Machinery Anomaly Detection Through Machine Learning

Abstract: Anomaly detection in sugar agroindustry machinery is important to improve operational robustness. One of the machines that have a crucial role in the sugar agroindustry process is the ...
CBSSports.com

Bills vs. Dolphins NFL props, SportsLine Machine Learning Model AI picks: James Cook Over 65.5 rushing yards

Thursday Night Football features the Buffalo Bills (2-0) hosting the Miami Dolphins (0-2), and despite the teams' contrasting records, they both have intriguing player props to consider for a SGP and ...
CBSSports.com

Vikings vs. Falcons props, bets, SportsLine Machine Learning Model AI predictions: Robinson over 68.5 rushing

Week 2 of Sunday Night Football will see the Minnesota Vikings (1-0) hosting the Atlanta Falcons (0-1). J.J. McCarthy and Michael Penix Jr. will be popular in NFL props, as the two will face off for ...
Scientific Research Publishing

Cheng, Q., Xie, R., Wu, J., & Ye, F. (2024). Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 M Series Imagery. Remote Sensing, 16 ...

ABSTRACT: Wetlands play a critical role in water retention and supply in drainage connected regions. The Usangu wetland ecosystem contributes to recharging the Ruaha River, which is hydrologically ...
Hosted on MSN

DenseNet Architecture Explained | Deep Learning Tutorial for Beginners

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...
Fierce Healthcare

White House releases AI Action Plan, looks to speed adoption in healthcare

The White House released its AI Action Plan on Wednesday, which focuses on deregulating the technology, establishing regulatory sandboxes to test artificial intelligence innovation and promoting ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
Semiconductor Engineering

Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. “Deep neural network (DNN) inference on power-constrained edge ...
C&EN

Machine Learning Force Fields in Electrochemistry: From Fundamentals to Applications

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Secondary batteries, fuel cells, and electrolytic cells have ...
C&EN

Machine Learning Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing

Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, ...